---
title: Qwen-Image-Edit-MeiTu
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/Qwen-Image-Edit-MeiTu"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/Qwen-Image-Edit-MeiTu.md"
repository: AI-ModelScope/Qwen-Image-Edit-MeiTu
last_updated: 2025-10-24
license: apache-2.0
pipeline_tag: image-to-image
tasks:
  - image-to-image
base_model:
  - Qwen/Qwen-Image-Edit
base_model_relation: finetune
parameters: 20.4B
tensor_type:
  - F8_E4M3
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
  - zh
downloads: 158
stars: 3
tags:
  - image-editing
  - consistency
  - aesthetics
  - DiT
  - Qwen-Image
  - ValiantCat
---

# Qwen-Image-Edit-MeiTu

> Qwen-Image-Edit-MeiTu - AI-ModelScope 在 ModelScope 开源的模型。🌈 Qwen-Image-Edit-MeiTu

AI-ModelScope/Qwen-Image-Edit-MeiTu 是 ModelScope 魔搭社区上的 20.4B 参数image-to-image模型，采用 apache-2.0 许可，基于 Qwen/Qwen-Image-Edit 构建。

- **Repository**: AI-ModelScope/Qwen-Image-Edit-MeiTu
- **License**: apache-2.0
- **Tasks**: image-to-image
- **Parameters**: 20.4B
- **Base model**: Qwen/Qwen-Image-Edit
- **Tags**: image-editing, consistency, aesthetics, DiT, Qwen-Image, ValiantCat
- **Downloads**: 158
- **Stars**: 3
- **Last updated**: 2025-10-24

Source: https://www.modelscope.cn/models/AI-ModelScope/Qwen-Image-Edit-MeiTu

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    <img src="https://ai.static.ad2.cc/banner.png" width="1000"/>
</p>

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# 🌈 Qwen-Image-Edit-MeiTu

This model — **Qwen-Image-Edit-MeiTu** — is an improved variant of [Qwen/Qwen-Image-Edit](https://huggingface.co/Qwen/Qwen-Image-Edit), built with **DiT-based architecture fine-tuning** to enhance **visual consistency**, **aesthetic quality**, and **structural alignment** in complex edits.

Developed by **Valiant Cat AI Lab**, this version aims to further close the gap between high-fidelity semantic editing and coherent artistic rendering, achieving a more natural and professional output across a wide range of prompts and subjects.

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## ✨ Key Improvements

* **Enhanced Consistency**:  
  Utilizes DiT (Diffusion Transformer) fine-tuning to ensure **structural stability** between input and edited regions, maintaining global spatial coherence.

* **Aesthetic Optimization**:  
  Trained with aesthetic discriminators and curated aesthetic score datasets, producing more **pleasing colors, contrast, and light balance**.

* **Better Detail Preservation**:  
  Improved low-level reconstruction for fine details such as **textures, faces, and typography**.

* **Broader Scene Adaptability**:  
  Performs well on **portraits, environments, product photos, and illustrations**, supporting both **semantic** and **appearance-based** editing.

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## 🖼️ Showcase

Below are examples of **consistency and aesthetic improvement** in complex editing scenarios:

| Input & Output |
|----------------|
| <img src="preview/result1.png" width="800"/> |
| <img src="preview/result2.png" width="800"/> |
| <img src="preview/result3.png" width="800"/> |
| <img src="preview/result4.png" width="800"/> |
| <img src="preview/result5.png" width="800"/> |



## 💬 Recommended Prompts

Try these prompts to explore the model’s strengths:

* “make the lighting soft and cinematic with better balance”  
* “enhance the photo’s composition and maintain realism”  
* “refine skin tone and texture consistency”  
* “improve the global color tone and aesthetic harmony”  
* “increase photo realism and clarity without changing content”

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## 🧩 Integration with ComfyUI

This model works seamlessly with a modified [ComfyUI Qwen-Image-Edit workflow](https://huggingface.co/starsfriday/Qwen-Image-Edit-MeiTu/blob/main/Qwen-Edit-MeiTu.json).  
Just use this model in the **Unet node** to workflow for edit image.

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## 📥 Download Model

Weights available in **Safetensors** format:

👉 [Download Qwen-Image-Edit-MeiTu](https://huggingface.co/starsfriday/Qwen-Image-Edit-MeiTu)

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## 🧠 Training

This model was trained and optimized by the  
**AI Laboratory of Chongqing Valiant Cat Technology Co., LTD.**  
Visit [https://vvicat.com/](https://vvicat.com/) for business collaborations or research partnerships.

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## 📜 License

Licensed under **Apache 2.0**.

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## 💼 Join Us

We are hiring research engineers and creative ML practitioners at  
**Chongqing Valiant Cat Technology Co., LTD** — reach out via  
📧 **tommy@vvicat.com**